Aurora 14.1 Beta Webinar

Faster Setup and Analysis – Data analysis and study setup continues to get faster in Aurora 14.1 with multiple new usability features. The new copy functionality as well as bulk edit and selection in the Study Case list make scenario setup much quicker. The powerful new Organize Columns Dialog in input and output data tables provides a convenient way to order and hide columns to quickly arrange your data, especially useful for large tables. Output tables also feature an updated look and feel with improved information in the window footer area and splitters for viewing different row and column groups at once. You can now create a new Change Set from records in the Change Set History, which allows you to start fresh from any point in time in the history. To keep your project files smaller, you can save your Change Set History outside the project for better save performance across a network.

Simplified Demand – The demand inputs have been consolidated into a new simplified Demand table. Save time setting up your demand assumptions as you work with a single input table in conjunction with the familiar time series tables. Use the new Convert Demand option to transform the old inputs into the new table format with one click. But don’t worry—you can keep using the old format until you are ready to switch over.

Scripting in Python – You can now write your Aurora scripts in Python. Check out the new language option and write in this familiar syntax right inside the Aurora scripting interface.  With this enhancement, users have more flexibility to script Aurora using Python, Visual Basic, or C#.  Be sure to also check out the new scripting functions in 14.1, including improved Change Set interactions through scripting.  New functions include the ability to create a new Change Set from script edits, merge multiple Change Sets, and switch what Change Set file the project is using. 

More Modeling Enhancements – Check out the other enhancements in Aurora 14.1 to make your modeling more robust and transparent. The new Custom Decision Variable table gives you the option to add your own variables to custom constraints, and the powerful Period Offset column offers a way to easily write complex constraints that involve multiple time periods. In addition, you can now reference new resources in custom constraints and set up more complex retirement constraints with the Prerequisite Retirement ID column. Be sure to check out the improvements to ELCC modeling as well with the new Dynamic Peak Credit Group column in the Resources table and improved RMT reporting.